Senior Data Engineer

1 week ago

Pune, Maharashtra, India Meshba Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Job Title: Data Engineer (Snowflake Expert)

Location: Pune, Maharashtra

Job Type: [Full-Time]

Experience Level: [Mid-Level ]

Job Summary:

We are seeking an experienced Data Engineer with strong expertise in Snowflake to design, build, and optimize scalable data solutions. The ideal candidate will have hands-on experience with Snowflake cloud data platform, advanced SQL skills, and modern data engineering practices for data integration, transformation, and delivery.

DB: SQL Server (Must), Snowflake (Must)

ETL Tools: SSIS (Must), Matillion (Nice to have)

Integration Tools: Snowpipe (Nice to have)

Orchestration Tools: Dagster (Nice to have)

Key Responsibilities:

  • Design, develop, and maintain data pipelines and ETL/ELT processes using Snowflake as the primary data platform.
  • Write complex and optimized SQL scripts for data transformation, aggregation, and analysis.
  • Implement and manage Snowflake features such as virtual warehouses, streams, tasks, data sharing, and secure data access.
  • Build and maintain data models and schemas (Star, Snowflake, Data Vault) to support analytics and reporting needs.
  • Work with business analysts and stakeholders to gather data requirements and deliver solutions that meet business objectives.
  • Integrate Snowflake with upstream and downstream systems using tools like dbt, Airflow, Fivetran, Informatica, or Azure Data Factory.
  • Ensure data quality, governance, and security standards are enforced across pipelines and environments.
  • Monitor, troubleshoot, and optimize performance of Snowflake workloads and data pipelines.

Required Qualifications:

  • Bachelors or Master's degree in Computer Science, Data Engineering, or a related field.
  • 4+ years of experience as a Data Engineer or in a data-intensive role.
  • Strong Snowflake expertise including advanced features (Time Travel, Cloning, Streams & Tasks, External Tables).
  • Proficiency in SQL scripting and performance tuning.
  • Experience with cloud platforms (AWS, Azure, or GCP) and data integration tools.
  • Strong understanding of data warehousing concepts, data modeling, and modern data architectures.
  • Knowledge of ETL/ELT processes and best practices.

Preferred Skills:

  • Experience with dbt (Data Build Tool) for transformation pipelines.
  • Familiarity with orchestration tools like Airflow, Dagster, or Prefect.
  • Exposure to BI tools such as Power BI, Tableau, or Looker.
  • Experience with Python, Spark, or Scala for data processing.
  • Understanding of data security, compliance, and governance frameworks (e.g., GDPR, HIPAA).

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